Follow
Adam M. Krajewski
Title
Cited by
Cited by
Year
Extensible structure-informed prediction of formation energy with improved accuracy and usability employing neural networks
AM Krajewski, JW Siegel, J Xu, ZK Liu
Computational Materials Science 208, 111254, 2022
302022
Generative deep learning as a tool for inverse design of high-entropy refractory alloys
A Debnath, AM Krajewski, H Sun, S Lin, M Ahn, W Li, S Priya, J Singh, ...
Journal of Materials Informatics 1 (3), 2021
282021
Correlation analysis of materials properties by machine learning: Illustrated with stacking fault energy from first-principles calculations in dilute fcc-based alloys
X Chong, SL Shang, AM Krajewski, JD Shimanek, W Du, Y Wang, J Feng, ...
Journal of Physics: Condensed Matter 33 (29), 295702, 2021
192021
Forming mechanism of equilibrium and non-equilibrium metallurgical phases in dissimilar aluminum/steel (Al–Fe) joints
SL Shang, H Sun, B Pan, Y Wang, AM Krajewski, M Banu, J Li, ZK Liu
Scientific reports 11 (1), 24251, 2021
172021
Thermodynamic properties of the Nd-Bi system via emf measurements, DFT calculations, machine learning, and CALPHAD modeling
S Im, SL Shang, ND Smith, AM Krajewski, T Lichtenstein, H Sun, ...
Acta Materialia 223, 117448, 2022
16*2022
Efficient Generation of Grids and Traversal Graphs in Compositional Spaces towards Exploration and Path Planning Exemplified in Materials
AM Krajewski, AM Beese, WF Reinhart, ZK Liu
arXiv preprint arXiv:2402.03528, 2024
22024
Comparing forward and inverse design paradigms: A case study on refractory high-entropy alloys
A Debnath, L Raman, W Li, AM Krajewski, M Ahn, S Lin, S Shang, ...
Journal of Materials Research 38 (17), 4107-4117, 2023
22023
Design and validation of refractory alloys using machine learning, CALPHAD, and experiments
W Li, L Raman, A Debnath, M Ahn, S Lin, AM Krajewski, S Shang, S Priya, ...
International Journal of Refractory Metals and Hard Materials 121, 106673, 2024
12024
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
M Evans, J Bergsma, A Merkys, C Andersen, OB Andersson, D Beltrán, ...
Digital Discovery, 2024
12024
Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
AM Krajewski, JW Siegel, ZK Liu
arXiv preprint arXiv:2404.02849, 2024
2024
MaterialsMap: A CALPHAD-Based Tool to Design Composition Pathways through feasibility map for Desired Dissimilar Materials, demonstrated with RSW Joining of Ag-Al-Cu
H Sun, B Pan, Z Yang, AM Krajewski, B Bocklund, SL Shang, J Li, ...
arXiv preprint arXiv:2403.19084, 2024
2024
nimCSO: A Nim package for Compositional Space Optimization
AM Krajewski, A Debnath, WF Reinhart, AM Beese, ZK Liu
arXiv preprint arXiv:2403.02340, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–12